Abstract

For the purpose of improvement of the sales, confirming the influence of price to the sales and customer satisfaction of the product is important. The most suitable price should be determined from the view point of customers, and it is extremely important to implement a high quality product corresponding to the real need of customers. It may have close relationship between cost and an expense to implement the individual inherent attribute of system product. Also, it may have close relationship between production cost and price of product. For the purpose of improvement of the customer satisfaction for quality of system product, the method of quantitative quality requirement and evaluation based on the ISO/IEC9126 quality model that includes six quality characteristics is widely recognized. In the precedent study, I have introduced the requirements definition method for the quality of system product based on the system quality model defined in ISO/IEC9126 and proposed the effectiveness of it statistically. In the previous study, I have also confirmed the relationship between inherent attributes of the product and quantitative result of the measured value of total customer satisfaction from the view point of six quality characteristics statistically. I performed the development of the prediction model to estimate the total customer satisfaction for the system product from the view point of inherent attribute of the product. And, I have proposed the effectiveness of application of the estimated prediction model and possibility of improvement of the total customer satisfaction of a system product. Based on the result of previous study, in this paper, I propose the result of investigation of influence of price to customer satisfaction, and the possibility of application of estimated prediction model for improvement of the total customer satisfaction of system product based on the price of product. Also, based on the result of investigation of relationship among price and inherent attributes of product, I propose the possibility of application of estimated prediction model and improvement of the price of system product from the view point of inherent attributes of product.

Highlights

  • The profitability of the system product is decided by the sales of the product influenced by the price and inherent attribute of the product

  • I performed the development of the prediction model to estimate the total customer satisfaction for the system product from the view point of inherent attribute of the product

  • Based on the result of previous study, in this paper, I propose the result of investigation of influence of price to customer satisfaction, and the possibility of application of estimated prediction model for improvement of the total customer satisfaction of system product based on the price of product

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Summary

Introduction

The profitability of the system product is decided by the sales of the product influenced by the price and inherent attribute of the product. I have confirmed the relationships between inherent attributes of the product and quantitative result of a measured value of total customer satisfaction from the view point of six quality characteristics statistically. I have already confirmed the causal relationships between total customer satisfaction and inherent attributes of product base on the validity of six quality characteristics and proposed the effectiveness of application of the estimated prediction model and possibility of improvement of the total customer satisfaction of a system product. Based on the result of investigation of relationship between customer satisfaction, price and inherent attributes of product, I propose the possibility of application of estimated prediction model and improvement of the total customer satisfaction and sales

Concepts
Concept of Improvement of Customer Satisfaction
Concept of System and Software Quality Model
Summaries
A Kind of OS a1i a2i
Target Data
Degree of Customer Satisfaction
Verification
Multiple Regressions Analysis among
Result
Concluding Remarks
Full Text
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